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. 2020 Nov;14(6):1081-1087.
doi: 10.1177/1932296819870231. Epub 2019 Aug 23.

Patient Input for Design of a Decision Support Smartphone Application for Type 1 Diabetes

Leah M Wilson  1 , Nichole Tyler  2 , Peter G Jacobs  2 , Virginia Gabo  1 , Brian Senf  1 , Ravi Reddy  2 , Jessica R Castle  1
Affiliations

Patient Input for Design of a Decision Support Smartphone Application for Type 1 Diabetes

Leah M Wilson et al. J Diabetes Sci Technol. 2020 Nov.

Abstract

Background: Decision support smartphone applications integrated with continuous glucose monitors may improve glycemic control in type 1 diabetes (T1D). We conducted a survey to understand trends and needs of potential users to inform the design of decision support technology.

Methods: A 70-question survey was distributed October 2017 through May 2018 to adults aged 18-80 with T1D from a specialty clinic and T1D Exchange online health community (myglu.org). The survey responses were used to evaluate potential features of a diabetes decision support tool by Likert scale and open responses.

Results: There were 1542 responses (mean age 46.1 years [SD 15.2], mean duration of diabetes 26.5 years [SD 15.8]). The majority (84.2%) have never used an app to manage diabetes; however, a large majority (77.8%) expressed interest in using a decision support app. The ability to predict and avoid hypoglycemia was the most important feature identified by a majority of the respondents, with 91% of respondents indicating the highest level of interest in these features. The task that respondents find most difficult was management of glucose during exercise (only 47% of participants were confident in glucose management during exercise). The respondents also highly desired features that help manage glucose during exercise (85% of respondents were interested). The responses identified integration and interoperability with peripheral devices/apps and customization of alerts as important. Responses from participants were generally consistent across stratified categories.

Conclusions: These results provide valuable insight into patient needs in decision support applications for management of T1D.

Keywords: decision support; multiple daily injections; smartphone app; survey; type 1 diabetes.

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Conflict of interest statement

Declaration of Conflicting Interests: The author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: JRC and PGJ have a financial interest in Pacific Diabetes Technologies Inc., a company that may have a commercial interest in automated insulin delivery technology. JRC and PGJ have received honorarium for consulting and research support from Dexcom. LMW, NT, VG, BS, and RR have no competing financial interests to disclose.

Figures

Figure 1.
Figure 1.
Likert responses for features and alerts questions. Responses about (a) features and (b) alerts proposed for a decision support smartphone application. The percentages listed are for scores of 1, 3, and 5 from left to right (1 = not interested, 3 = neutral, 5 = very interested).
See this image and copyright information in PMC

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